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Single-plane dual-modality tomography for multiphase flow imaging by integrating electrical capacitance and ultrasonic sensors

Pusppanathan, Jaysuman and Abdul Rahim, Ruzairi and Phang, Fatin Aliah and Mohamad, Elmy Johana and Nor Ayob, Nor Muzakkir and Rahiman, Mohd Hafiz Fazalul and Chan, Kok Seong (2017) Single-plane dual-modality tomography for multiphase flow imaging by integrating electrical capacitance and ultrasonic sensors. IEEE Sensors Journal, 17 (19). pp. 6368-6377. ISSN 15581748

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This paper presents an experimental study of a single-plane dual-modality tomography (DMT) system integrating electrical capacitance tomography (ECT) and ultrasonic tomography (UT) for water–oil–gas three-phase flow imaging. The soft-field (ECT) and hard-field (UT) systems measure different physical parameters, making them both a fine combination in complementing each system’s limitations. The DMT system consists of 16 units of customized ECT sensors and 16 units of UT transducers, which are composited on a single-plane arrangement to perform concurrent measurement. A finite-element method is used to model and study its feasibility and performance before engaging with the actual hardware. The DMT system is carried out on a vertical test column and horizontal stratified flow to obtain sensor data from each modality by inspection of separate tomographic image using linear back-projection (LBP) image reconstruction algorithm and convolution back projection with Gaussian filtering (CBPF). A fuzzy logic pixel fusion method is used for image fusion process. To evaluate the reconstructed images, the mean structural similarity index (MSSIM) method and the mutual information method (MF) are employed on both the LBP and CBPF image results. The analysis and assessments proved that the CBPF method has successfully improvised the image results and thus has better MSSIM rating and MF over the LBP method with an enhancement up to 12.55% and 8.92%, respectively.

Item Type: Article
Uncontrolled Keywords: Multi-modality; multiphase flow imaging; tomography; sensor fusion
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Electrical and Electronic Engineering > Department of Robotic and Mechatronic Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 10 Oct 2018 07:53
Last Modified: 10 Oct 2018 07:53
URI: http://eprints.uthm.edu.my/id/eprint/10583
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